Dr. Alejandro Couce's group has used experimental evolution to predict how a gene that destroys a large family of antibiotics can expand its destructive repertoire. The work provides clues about its ability to jump between superbugs and offers a practical roadmap for their surveillance and treatment.

Researcher Inssaf Nedjari, second author of the study, observing how the ancestral bacteria fail to grow in a Petri dish containing the antibiotic. / CBGP
In 2001, a next-generation superbug weapon, the KPC-2 enzyme, was detected for the first time in a hospital in North Carolina. This enzyme is capable of rendering almost all antibiotics in the beta-lactam family useless, which includes well-known drugs such as penicillin and amoxicillin, as well as "last-resort" compounds such as carbapenems. In less than a decade, KPC-2 had spread across the planet, causing outbreaks with mortality rates exceeding 40% and a massive health impact, marked by prolonged hospitalizations and expensive treatments. The secret: KPC-2's ability to jump between bacteria and its surprising ability to reinvent itself in the face of new antibiotics.
The research group, led by Galician CBGP researcher Alejandro Couce, based at the Polytechnic University of Madrid, decided to reproduce this process in the laboratory to observe, step by step, how the KPC-2 enzyme learns new tricks. The work has been published in the prestigious journal
An evolutive atlas for surveillance and treatment
By forcing its adaptation under clinically used antibiotics and characterizing it in detail mutation by mutation, the team reconstructed a detailed "map" of pathways that allow KPC-2 to expand its destructive repertoire, identifying multiple clinical variants and revealing its potential Achilles' heels.
The great novelty of this approach is that it can be extended to other resistance genes. Instead of waiting for dangerous variants to appear in hospitals, scientists can force them into harmless laboratory strains under controlled conditions, identify them in real time, and precisely measure their impact on resistance. The result is an evolutionary atlas that shows recurring shortcuts, high-risk combinations, and even dead ends that could be exploited with combination treatments.
Galician Alejandro Couce's line of research has sought for years to understand how to stay ahead of inevitable bacterial evolution. Last year, he surprised everyone with a study in Science that showed that the first steps of adaptation can be predicted in the laboratory. Now, he is extending that idea to the clinical field of multiple resistance. And the lesson is clear: anticipating KPC-2's moves allows us to play with an advantage, blocking its exits and keeping our best pieces alive: the antibiotics.
Group links:
IG account
WEB
Original Paper:
Dabos, L., Nedjari, I., Couce, A. 2025. Cryptic phenotypic variation emerges rapidly during the adaptive evolution of a carbapenemase. Nature Ecology & Evolution 1–13. DOI: 10.1038/s41559-025-02804-6
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